How to Access Columns by Numeric Index in Pandas (Python)

How to Access Columns by Numeric Index in Pandas (Python)

This video shows how to access the columns of a pandas data frame using the numeric index using iloc. Using numeric indexes to get columns can make it easier to select multiple columns or large ranges of columns since you don't have to know or type out all of the column names.

This video shows how to access the columns of a pandas data frame using the numeric index using iloc. Using numeric indexes to get columns can make it easier to select multiple columns or large ranges of columns since you don't have to know or type out all of the column names.

Code used in this Python Code Clip:

import pandas as pd

import statsmodels.api as sm #(To access mtcars dataset) mtcars = sm.datasets.get_rdataset("mtcars", "datasets", cache=True).data mtcars.head()

Access a column by numerical index mtcars.iloc[:, 2]

Access multiple column by numerical index mtcars.iloc[:, [2,4,5]]

Access multiple columns and a subset of rows mtcars.iloc[[1,5,7], [2,4,5]]

Access columns with a column subset mtcars[mtcars.columns[[2,4,5]]]

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